Adaptive Inter-layer Filter Selection Mechanism for Improved Scalable Extensions of High Efficiency Video Coding (SHVC)

• Published in: Journal of Digital Contents Society Vol. 18; no. 1; pp. 141 - 147
• Main Authors: Lee, Jong-Hyeok, Kim, Byung-Gyu
• Format: Journal Article
• Language: English
• Published: 한국디지털콘텐츠학회 28.02.2017
• Subjects: 컴퓨터학; HEVC 기반 스케일러블 부호화; Scalable Extension of HEVC; 스케일러블 부호화; SHVC; 계층 간 예측; 적응적 필터링; Inter-layer prediction; Adaptive filtering
• ISSN: 1598-2009; 2287-738X
• DOI: 10.9728/dcs.2017.18.1.141

Scalable extension of High Efficiency Video Coding (SHVC) standard uses the up-sampled residual data from the base layer to make a residual data in the enhancement layer. This paper describes an efficient algorithm for improving coding gain by using the filtered residual signal of base layer in the Scalable extension of High Efficiency Video Coding (SHVC). The proposed adaptive filter selection mechanism uses the smoothing and sharpening filters to enhance the quality of inter-layer prediction. Based on two filters and the existing up-sampling filter, a rate-distortion (RD)-cost fuction–based competitive scheme is proposed to get better quality of video. Experimental results showed that average BD-rate gains of 1.5%, 2.1%, and 1.7% for Y, U and V components, respectively, were achieved, compared with SHVC reference software 5.0, which is based on HEVC reference model (HM) 13. KCI Citation Count: 0